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anuragshas/wav2vec2-xls-r-300m-or-cv9-with-lm

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.011 GBother✓ 3 checksumsupdated today
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This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - OR dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7886
  • Wer: 0.5495
  • Cer: 0.1311

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 7.5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 3071
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
3.5875 66.62 400 3.4289 1.0 1.0
1.4065 133.31 800 0.7243 0.6619 0.1734
1.007 199.92 1200 0.6611 0.5831 0.1457
0.7984 266.62 1600 0.6387 0.5520 0.1332
0.6117 333.31 2000 0.7424 0.5682 0.1376
0.4926 399.92 2400 0.7627 0.5514 0.1314
0.416 466.62 2800 0.7816 0.5604 0.1320

Framework versions

  • Transformers 4.19.0.dev0
  • Pytorch 1.11.0+cu102
  • Datasets 2.1.1.dev0
  • Tokenizers 0.12.1